act.plotting.TimeSeriesDisplay.wind_quiver_plot#

TimeSeriesDisplay.wind_quiver_plot(field_wspd='wspd_vec_mean', field_wdir='wdir_vec_mean', dsname=None, scale=125, cmap='cividis', arrow_legend=True, day_night_background=False, set_title=None, subplot_index=(0,), figsize=(12, 3), **kwargs)[source]#

Creates a time series quiver plot showing wind speed and direction.

Parameters:

  • field_wspd (str) – Field name for wind speed (in m/s).

  • field_wdir (str) – Field name for wind direction (in degrees).

  • dsname (str) – Name of datastream to plot.

  • scale (float) – Scale factor for quiver arrows.

  • cmap (str) – Colormap for arrow colors representing wind speed.

  • arrow_legend (bool) – Whether to add a legend for arrow lengths.

  • day_night_background (bool) – If True, overlays day/night background shading.

  • set_title (str or None) – Title to set on the plot. If None, generates automatically.

  • subplot_index (1 or 2D tuple, list, or array) – The index of the subplot to plot in.

  • figsize (tuple) – Size of the figure.

  • **kwargs (keyword arguments) – Additional keyword arguments passed to matplotlib’s quiver function.

Returns:

ax (matplotlib.axes.Axes) – The axis with the wind quiver plot.